Key takeaway: It is important to be aware of bias in ML models. Some biases may correctly model the reality of the world, and some may show the bias in the unde

Key takeaway: It is important to be aware of bias in ML models. Some biases may correctly model the reality of the world, and some may show the bias in the underlying dataset or in what the model has focused on in the data. The goal is not to "unbias" everything, as people seem to be focusing on, but rather to determine if the bias is appropriate given the context.